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Systems
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Advances in Operations and Production Management Systems
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Advances in Operations and Production Management Systems

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Artificial Intelligence and Digital Systems Engineering".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 2803

Special Issue Editors

Dr. Miguel Vieira

E-Mail Website
Guest Editor
Industrial Engineering and Management, Faculty of Engineering, Lusófona University and EIGeS, Campo Grande, 1749-024 Lisbon, Portugal
Interests: operations management; decision support; optimization; production planning and scheduling
Special Issues, Collections and Topics in MDPI journals
Dr. Bruno Gonçalves

E-Mail Website
Guest Editor
1. Mechanical Engineering Department, Polytechnic University of Leiria, 2411-901 Leiria, Portugal
2. ALGORITMI Centre, University of Minho, 4704-553 Braga, Portugal
Interests: discrete-event simulation; lean healthcare; lean operations management; production planning and control
Special Issues, Collections and Topics in MDPI journals
Dr. Telmo Pinto

E-Mail Website
Guest Editor
Centre for Mechanical Engineering, Materials and Processes, ARISE, University of Coimbra, 3004-531 Coimbra, Portugal
Interests: operations research; computer science; industrial engineering; logistics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Systems kindly invites you to address recent advances in operations and production management systems, focused on the challenges provided by ongoing digital transformation and evolving business paradigms. The contributions can explore, for example, the integration of artificial intelligence and machine learning for innovative decision-making and predictive analytics, fostering agile and data-driven operations. The role of Internet of Things and real-time analytics has become crucial in current competitive environments, highlighting the responsiveness in supply chain management and operational excellence. Submissions may also delve into the deployment of automation and robotics, alongside advanced manufacturing techniques which are reshaping production processes through increased efficiency and customization. Moreover, sustainable practices are fundamental in reducing environmental footprint and aligning with evolving regulatory and consumer demands. To be at the forefront of novel research and practices, it is imperative to understand production systems at their core, as well as offer comprehensive insights into current trends and future directions. Our aim is to provide a collection of top research articles that leverage these advancements to enhance overall systems' productivity and sustainability.

We look forward to receiving your submissions for consideration.

Dr. Miguel Vieira
Dr. Bruno Gonçalves
Dr. Telmo Miguel Pires Pinto
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • operations management
  • digital transformation
  • advanced manufacturing applications
  • smart manufacturing systems
  • real-time data analytics
  • sustainability

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Published Papers (1 paper)

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Research

15 pages, 1345 KiB  
Article
Optimizing Supply Chain Inventory: A Mixed Integer Linear Programming Approach
by Joaquim Jorge Vicente
Systems 2025, 13(1), 33; https://doi.org/10.3390/systems13010033 - 5 Jan 2025
Cited by 1 | Viewed by 2222
Abstract
Abstract: Inventory supply chain planning involves determining the quantity of products to be transported among entities within a specified planning horizon. Often, inventory levels are reviewed at set intervals: (1) Background: In this paper, periodic review (s,S) policy is used to optimize inventories [...] Read more.
Abstract: Inventory supply chain planning involves determining the quantity of products to be transported among entities within a specified planning horizon. Often, inventory levels are reviewed at set intervals: (1) Background: In this paper, periodic review (s,S) policy is used to optimize inventories from an integrated perspective of inventory management across the supply chain. The decision to place an order and the order quantity are based on the inventory level at the review time. If the inventory falls below a certain level (s), an order is placed to replenish it to a target level (S); (2) Methods: The planning model is implemented using a mixed integer linear programming model. It determines the inventory levels, supply levels and the (s) and (S) levels for each entity, as well as the flow of products between them. To test the model, a case study is conducted to demonstrate its applicability; (3) Results: The experimental data confirm the model’s validity, as its behavior aligns with the expectations for a periodic review (s,S) policy; (4) Conclusions: Since a fixed replenishment frequency is mandatory, with no continuous inventory review required, this policy offers simplicity and ease of implementation, making it a practical choice for certain inventory management. Full article
(This article belongs to the Special Issue Advances in Operations and Production Management Systems)
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